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한의학에서 딥러닝의 뜻밖의 역할: 딥러닝의 과학으로 한의학 이해하기

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dc.contributor.author배효진-
dc.contributor.author김창업-
dc.date.accessioned2024-01-06T02:00:23Z-
dc.date.available2024-01-06T02:00:23Z-
dc.date.issued2023-03-
dc.identifier.issn2714-0237-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89961-
dc.description.abstractDeep learning is revolutionizing in many scientific fields today. When it comes to Traditional Korean Medicine(TKM), it is commonly expected that deep learning will be able to assist TKM doctors to diagnose and prescribe treatments. We believe, however, there is another way to revolutionize TKM using deep learning. Mathematically, deep learning is a universal approximation function and can be a powerful model that explains cognitive processes in the brain. Since all of the decision-making processes in TKM are cognitive processes in the TKM doctors’ brain, they could also be modeled and explained using deep learning framework. As the science of deep learning advances, we will be able to better understand TKM through deep learning framework.-
dc.format.extent7-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한미병의학회-
dc.title한의학에서 딥러닝의 뜻밖의 역할: 딥러닝의 과학으로 한의학 이해하기-
dc.title.alternativeThe Unexpected Role of Deep Learning in Traditional Korean Medicine (TKM): The Science of Deep Learning Can Help better Understand TKM-
dc.typeArticle-
dc.identifier.doi10.37928/kjsm.2023.4.1.44-
dc.identifier.bibliographicCitation대한미병의학회지, v.4, no.1, pp 44 - 50-
dc.identifier.kciidART003035269-
dc.description.isOpenAccessN-
dc.citation.endPage50-
dc.citation.startPage44-
dc.citation.title대한미병의학회지-
dc.citation.volume4-
dc.citation.number1-
dc.publisher.location대한민국-
dc.subject.keywordAuthorDeep learning-
dc.subject.keywordAuthorArtificial intelligence (AI)-
dc.subject.keywordAuthorTraditional Korean medicine (TKM)-
dc.subject.keywordAuthorPattern differentiation-
dc.description.journalRegisteredClasskciCandi-
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College of Korean Medicine (Premedical course of Oriental Medicine)
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